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π Project: https://www.cs.cmu.edu/~sige/
π Paper: https://arxiv.org/abs/2211.02048v1
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π4β€1π₯1
$ git clone [email protected]:rpmsnu/PrimA6D.git
π Paper: https://arxiv.org/abs/2211.00960v1
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Automatic Prompt Engineer (APE) for automatic instruction generation and selection.
pip install -e .
π Paper: https://arxiv.org/abs/2211.01910v1
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π5β€1π₯1
git clone https://github.com/Lukeli0425/Galaxy-Deconv.git
π Paper: https://arxiv.org/abs/2211.01567v1
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π5β€1π₯1
WEBVICOB πΈ : WEB based VIsual COrpus Builder
π₯ Github: https://github.com/clovaai/webvicob
π Paper: https://arxiv.org/abs/2211.03256v1
β‘οΈ Dataset: https://dumps.wikimedia.org/other/enterprise_html/runs
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π Paper: https://arxiv.org/abs/2211.03256v1
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π₯5π2β€1
Robust Reflection Removal with Reflection-free Flash-only Cues (RFC)
π₯ Github: https://github.com/ChenyangLEI/flash-reflection-removal
π Paper: https://arxiv.org/abs/2211.02914v1
βοΈ Project: https://chenyanglei.github.io/flashrr_rfc/index.html
β‘οΈ Dataset: https://hkustconnect-my.sharepoint.com/:u:/g/personal/cleiaa_connect_ust_hk/EWv1afaxrhFKlbT7iX0b8FMB8R1ZeNyUWRQM__A_SPkVGQ?e=8IbhE6
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conda env create -f environment.yml
conda activate flashrr-rfc
bash download.sh
python test.py
π Paper: https://arxiv.org/abs/2211.02914v1
@ArtificialIntelligencedl
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π6β€3π₯1
π¬ MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
π₯ Github: https://github.com/victorsungo/mmdialog
π Paper: https://arxiv.org/abs/2211.05719v1
β‘οΈ Dataset: https://paperswithcode.com/dataset/openvidial
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π Paper: https://arxiv.org/abs/2211.05719v1
@ArtificialIntelligencedl
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MACSum is the first human-annotated summarization dataset for controlling mixed attributes.
π Paper: https://arxiv.org/abs/2211.05041v1
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π4β€2π₯1
π Paper: https://arxiv.org/abs/2211.04610v1
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π4β€3π₯1
nebullvm is an open-source tool designed to speed up AI inference in just a few lines of code.
π Docs: https://nebuly.gitbook.io/nebuly/nebullvm/installation
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π Paper: https://arxiv.org/abs/2211.07342v1
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MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets
π₯ Github: https://github.com/ddlbojack/mt4ssl
π Paper: https://arxiv.org/abs/2211.07321v1
β‘οΈ Dataset: https://paperswithcode.com/dataset/librispeech
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git clone https://github.com/pytorch/fairseq
cd fairseq
pip install --editable ./
git clone https://github.com/ddlBoJack/MT4SSL
π Paper: https://arxiv.org/abs/2211.07321v1
@ArtificialIntelligencedl
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π6β€1π₯1
git clone https://github.com/LTH14/mage.git
cd mage
π Paper: https://arxiv.org/abs/2211.09117v1
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π Paper: https://arxiv.org/abs/2211.09808v1
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VeLO: Training Versatile Learned Optimizers by Scaling Up
π₯ Github: https://github.com/google/learned_optimization/tree/main/learned_optimization/research/general_lopt
π Paper: https://arxiv.org/abs/2211.09760v1
β‘οΈ Dataset: https://paperswithcode.com/dataset/librispeech
β‘οΈ Colab: https://colab.research.google.com/github/google/learned_optimization/blob/main/learned_optimization/research/general_lopt/Demo_for_training_a_model_with_a_learned_optimizer.ipynb
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π Paper: https://arxiv.org/abs/2211.09760v1
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π7π₯1π₯°1
π Paper: https://arxiv.org/abs/2211.09552v1
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β€4π2π₯°1
π Paper: https://arxiv.org/abs/2211.10411v1
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π5β€1π1π₯1π₯°1
π Paper: https://arxiv.org/abs/2211.09984v1
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π Paper: https://arxiv.org/abs/2211.11359v1
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β€3π2π₯°1
β½οΈ Soccer Action Spotting
π₯ Github: https://github.com/ipcv/soccer_action_spotting
π Paper: https://arxiv.org/abs/2211.12334v1
β‘οΈ Dataset: https://paperswithcode.com/dataset/soccernet
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π Paper: https://arxiv.org/abs/2211.12334v1
@ArtificialIntelligencedl
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